Data Scientist
Upload My Resume
Drop here or click to browse · PDF, DOCX, DOC, RTF, TXT
Requirements
• Skills needed: Expert knowledge in Python/SQL; solid understanding of coding best practices and model documentation; strong communication skills; strong interpersonal skills. • Years of experience required: 3 - 6 years in fintech, finance or other high impact fields applying statistical and machine learning predictive techniques (educational background considered). Consumer lending experience is a plus. • Education preferred: Advanced degree such as M.S./PhD in statistics, computer science, engineering, physical sciences, economics, or related technical field. • Certifications required/suggested: None stated explicitly; however, knowledge of regulatory guidelines and reproducible research mindset is implied for the role's compliance aspect with regulations.
Responsibilities
• Build industry-leading machine learning models for managing credit and fraud risks • Leverage multiple complex data sources such as credit bureau reports and customer supplied information at large scale to optimize approve/decline and credit line assignment decisions • Collaborate with engineers to deploy your models into a production environment • Propose and execute solutions to various problems within business constraints • Use responsible AI technique following regulatory requirements and lending best practices • Help the team with developing tools and workflow solutions to increase data science productivity • Actively monitor the credit risk models in production • Extract the most value out of data to significantly impact our key business metrics • Assess the potential usefulness and validity of machine learning algorithms and features through various data sources • Conduct ad-hoc analysis related to risk management, investor services, operations and corporate development
Benefits
• Comprehensive health coverage • Competitive salary • Paid parental leave • Flexible time off • Udemy access • Childcare assistance • Pet insurance discounts • Legal assistance • Additional perks through Perkspot